An Integrated Approach for Simulating Debris-Flow Dynamic Process Embedded with Physically Based Initiation and Entrainment Models
Abstract
:1. Introduction
2. Physically Based Initiation Model of the Debris Flow Sources
2.1. Limit Equilibrium Method for Slope Stability Analysis
2.2. Critical Slip Surface Determination Incorporated with the Monte Carlo Method
- (1)
- Composite critical slip surface determination.
- The slip surface should be located entirely within the slope body range, and the shear inlet and shear outlet are on the slope surface;
- There should be smooth transitions between adjacent slip slice segments and no sharp corners. The angle between two adjacent slip slice segments should be greater than 90°;
- The horizontal spacing of adjacent nodes should be greater than the minimum horizontal spacing to avoid overlap of the slice division nodes.
- (2)
- Considering the spatial variability of the soil, calculate the range of the critical slip surface and the initiation source volume.
3. Entrainment-Incorporated Numerical Model
4. Wet/Dry Front Treatment over Complex Topography
- Dry edge. The flow depths of both neighboring cells are smaller than , which is mathematically expressed as , as shown in Figure 5a.
- Wet edge: in contrast to the dry edge, the flow depths of both neighboring cells are greater than , which is , as shown in Figure 5b.
- Semi-dry edge: the flow depth of one neighboring cell is greater than while the other one is less than , and the flow surface level of the dry side is higher than that of the wet side. For example, , and , as shown in Figure 5c;
- Semi-wet edge: the flow depth condition of the cells on both sides is the same as that of the semi-dry edge, but the flow surface level of the wet side is higher than that of the dry side—for example, , and , as shown in Figure 5d.
5. Case Study: The 2010 Hongchun Debris-Flow Event in the Yingxiu Town, China
5.1. The Overview of the 2010 Hongchun Debris-Flow Event
5.2. The Physically Based Estimation of the Slope Initiation Source
5.3. Numerical Simulation of the Debris-Flow Dynamic Process
6. Discussion
6.1. Advantages
6.2. Limitations and Future Works
7. Conclusions
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
References
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Parameter | Unit Weight | Effective Cohesion | Pore Pressure Coefficient | Internal Friction Angle |
---|---|---|---|---|
Notation | c | |||
Unit | ||||
Value range | ||||
Coefficient of variation | 0 | 0.25 |
Module | Parameter | Notation | Units | Value |
---|---|---|---|---|
Debris-flow material (rheology) | Debris flow density | 2020 | ||
Dynamic viscosity | 0.15 | |||
Bulk basal friction angle of the flowing mass | ° | 12 | ||
Chezy coefficient | / | 12 | ||
Control parameters (simulation) | Fitting parameter of the velocity profile | / | 0.50 | |
Grid size | 2.5 | |||
Time increment | 0.001 | |||
The minimum depth | 0.005 |
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Han, Z.; Li, M.; Li, Y.; Zhao, M.; Li, C.; Xie, W.; Ding, H.; Ma, Y. An Integrated Approach for Simulating Debris-Flow Dynamic Process Embedded with Physically Based Initiation and Entrainment Models. Water 2023, 15, 1592. https://doi.org/10.3390/w15081592
Han Z, Li M, Li Y, Zhao M, Li C, Xie W, Ding H, Ma Y. An Integrated Approach for Simulating Debris-Flow Dynamic Process Embedded with Physically Based Initiation and Entrainment Models. Water. 2023; 15(8):1592. https://doi.org/10.3390/w15081592
Chicago/Turabian StyleHan, Zheng, Ming Li, Yange Li, Mingyue Zhao, Changli Li, Wendu Xie, Haohui Ding, and Yangfan Ma. 2023. "An Integrated Approach for Simulating Debris-Flow Dynamic Process Embedded with Physically Based Initiation and Entrainment Models" Water 15, no. 8: 1592. https://doi.org/10.3390/w15081592